Another limitation of this work is that the CLAMs are only as good as the clustering algorithm. That is, if the deep clustering does a poor job of finding distinct clusters, the CLAMs will not necessarily identify the correct discriminatory regions. Techniques to improve the accuracies of deep clustering architectures may include data augmentation [1]}, generative adversarial networks [2]} and alternative loss functions [3]}, among others.
